rgcgithub / regenie

regenie is a C++ program for whole genome regression modelling of large genome-wide association studies.
https://rgcgithub.github.io/regenie
Other
187 stars 55 forks source link

Step 1 qt phenotype all nan #352

Closed mdelliot closed 1 year ago

mdelliot commented 2 years ago

Hi, I'm trying to run a small test sample for a quantitative trait through step 1 and I cannot get any Output other than the one listed here. Any ideas of what is going wrong? Thank you

          |=============================|
          |      REGENIE v3.1.3.gz      |
          |=============================|

Copyright (c) 2020-2022 Joelle Mbatchou, Andrey Ziyatdinov and Jonathan Marchini. Distributed under the MIT License. Compiled with Boost Iostream library. Using Intel MKL with Eigen.

Log of output saved in file : /Regenie/Step1New/MinMAF1pct/QT/regenieRes.log

WARNING: only variants which satisfy both extract/exclude options will be kept. Options in effect: --step 1 \ --bed /Regenie/allQCBAFilter/allQCBAFilter \ --covarFile /Regenie/CovPheno/covariates.txt \ --phenoFile /Regenie/CovPheno/phenotypesQT.txt \ --qt \ --lowmem \ --apply-rint \ --covarColList U1,U2,U3,U4,U5,U6,sex \ --extract /Regenie/allQCBAFilter/snps.pruned.QT.snplist \ --exclude /Regenie/allQCBAFilter/QT.exclude \ --bsize 100 \ --loocv \ --lowmem-prefix /Regenie/Step1New/MinMAF1pct/QT/ \ --out /Regenie/Step1New/MinMAF1pct/QT/regenieRes

Fitting null model

With the output of:

Level 1 ridge... -on phenotype 1 (C3)...done (86ms)

Output

phenotype 1 (C3) : 0.01 : Rsq = -nan, MSE = -nan<- min value 0.25 : Rsq = -nan, MSE = -nan 0.5 : Rsq = -nan, MSE = -nan 0.75 : Rsq = -nan, MSE = -nan 0.99 : Rsq = -nan, MSE = -nan

and the pred.list file is all -nan

joellembatchou commented 2 years ago

Hi,

Have you checked the distribution of the phenotype for the 121 samples analyzed? Note that we recommend running Step 1 on a fairly large set of variants (eg 500K) to get good genome-wide coverage (here you only have 36K).